Tuesday 17 April 2012

Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy (Intelligent Systems, Control and Automation

Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy (Intelligent Systems, Control and Automation
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Edition: 1
Binding: Hardcover
ISBN: 1402061137



Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy (Intelligent Systems, Control and Automation: Science and Engineering)


There has been tremendous emphasis in unmanned aerial vehicles, both of fixed (airplanes) and rotary wing (vertical take off and landing, helicopters) types over the past ten years. Get Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy (Intelligent Systems, Control and Automation computer books for free.
Applications span both civilian and military domains, the latter being the most important at this stage. This edited book provides a solid and diversified reference source related to basic, applied research and development on small and miniature unmanned aerial vehicles, both fixed and rotary wing. As such, the book offers background information on the evolution of such vehicles over the years, followed by modeling and control fundamentals that are of paramount importance due to unmanned aerial vehicle model complexity, nonlinearity, coupling, inhirent instabili Check Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy (Intelligent Systems, Control and Automation our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

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Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy (Intelligent Systems, Control and Automation Download


Applications span both civilian and military domains, the latter being the most important at this stage As such, the book offers background information on the evolution of such vehicles over the years, followed by modeling and control fundamentals that are of paramount importance due to unmanned aerial vehicle model complexity, nonlinearity, coupling, inhirent instabili

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